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Part of the book series: Behaviormetrics: Quantitative Approaches to Human Behavior ((BQAHB,volume 16))

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Abstract

When we carry out data analysis, we encounter many kinds of data.

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References

  • Bock, R. D. (1960). Methods and applications of optimal scaling (p. 25). No: The University of North Carolina Psychometric Laboratory Research Memorandum.

    Google Scholar 

  • Bock, R. D., & Jones, L. V. (1968). Measurement and Prediction of Judgment and Choice. San Francisco: Holden-Day.

    Google Scholar 

  • Carroll, D. J. (1972). Individual differences and multidimensional scaling. In R. N. Shepard, A. K. Romney, & S. B. Nerlove (Eds.), Multidimensional Scaling: Theory and Applications in the Behavioral Sciences. (Vol. I). New York: Seminar Press.

    Google Scholar 

  • Coombs, C. H. (1964). A Theory of Data. New York: Wiley.

    Google Scholar 

  • Dunn-Rankin, P. (1983). Scaling Methods. Hillsdale, N.J.: Lawrence Erlbaum Associates.

    Google Scholar 

  • Greenacre, M. J. & Torres-Lacomba, A. (1999). A note on the dual scaling of dominance data and its relationship to correspondence analysis. Working Paper Ref. 430, Departament d’Economia i Empresa, Universidad Pompeu Fabra, Barcelona, Spain.

    Google Scholar 

  • Guttman, L. (1946). An approach for quantifying paired comparisons and rank order. Annals of Mathematical Statistics, 17, 144–163.

    Article  MathSciNet  MATH  Google Scholar 

  • Hand, A. J. (2004). Measurement Theory and Practice: The World through Quantification. London: Oxford University Press.

    MATH  Google Scholar 

  • Kretschmer, E. (1925). Physique and Character: An Investigation of the Nature of Constitution and of the Theory of Temperament; with 31 Plates. London: Kegan Paul, Trench, Trubner.

    Google Scholar 

  • Nishisato, S. (1975). Applied Psychological Scaling. Tokyo: Seishin Shobo Publisher (in Japanese).

    Google Scholar 

  • Nishisato, S. (1976). Optimal Scaling as Applied to Different Forms of Categorical Data. Toronto: Department of Measurement and Evaluation, OISE.

    Google Scholar 

  • Nishisato, S. (1978). Optimal scaling of paired comparison and rank order data: An alternative to Guttman’s formulation. Psychometrika, 43, 267–271.

    Article  MATH  Google Scholar 

  • Nishisato, S. (1980). Analysis of Categorical Data: Dual Scaling and Its Applications. Toronto: The University of Toronto Press.

    Book  MATH  Google Scholar 

  • Nishisato, S. (2010). Data Analysis for Behavioral Sciences: Use of Methods Appropriate for Information Retrieval. Tokyo: Baifukan. (in Japanese).

    Google Scholar 

  • Nishisato, S. (2022). Optimal Quantification and Symmetry. Singapore: Springer Nature.

    Book  MATH  Google Scholar 

  • Slater, P. (1960). Analysis of personal preferences. British Journal of Statistical Psychology, 3, 119–135.

    Article  Google Scholar 

  • Stevens, S. S. (1951). Mathematics, measurement, and psychophysics. In S. S. Stevens (Ed.), Handbook of Experimental Psychology. New York: Wiley.

    Google Scholar 

  • Torgerson, W. S. (1952). Multidimensional scaling: I. Theory and method. Psychometrika, 17, 401–419.

    Article  MathSciNet  MATH  Google Scholar 

  • Torgerson, W. S. (1958). Theory and Methods of Scaling. New York: Wiley.

    Google Scholar 

  • van de Velden, M. (2000). Dual scaling and correspondence analysis of rank order data. In R. D. H. Heijmans, D. S. G. Pollock, & A. Satorra (Eds.), Innovations in multivariate statistical analysis. Dordrecht: Kluwer Academic Publishers.

    Google Scholar 

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Correspondence to Shizuhiko Nishisato .

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Nishisato, S. (2023). Information for Analysis. In: Measurement, Mathematics and New Quantification Theory. Behaviormetrics: Quantitative Approaches to Human Behavior, vol 16. Springer, Singapore. https://doi.org/10.1007/978-981-99-2295-6_1

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